Abstract
The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 145-152 |
| Number of pages | 8 |
| Volume | 4448 LNCS |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG - Valencia, Spain Duration: Apr 11 2007 → Apr 13 2007 |
Other
| Other | EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG |
|---|---|
| Country | Spain |
| City | Valencia |
| Period | 4/11/07 → 4/13/07 |
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Keywords
- Particle swarm optimiser with passive congregation
- Transformer winding mathematical model
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation. / Shintemirov, A.; Tang, W. H.; Lu, Z.; Wu, Q. H.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4448 LNCS 2007. p. 145-152.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation
AU - Shintemirov, A.
AU - Tang, W. H.
AU - Lu, Z.
AU - Wu, Q. H.
PY - 2007
Y1 - 2007
N2 - The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.
AB - The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.
KW - Particle swarm optimiser with passive congregation
KW - Transformer winding mathematical model
UR - http://www.scopus.com/inward/record.url?scp=34548096248&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548096248&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:34548096248
SN - 3540718044
SN - 9783540718048
VL - 4448 LNCS
SP - 145
EP - 152
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -